A Global African Buffalo Optimization

In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between...

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Main Authors: Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir, Odili, Julius Beneoluchi, Essam, M. H. A.
Format: Article
Language:English
Published: Penerbit UMP 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14173/
http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf
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author Azrag, M. A. K.
Tuty Asmawaty, Abdul Kadir
Odili, Julius Beneoluchi
Essam, M. H. A.
author_facet Azrag, M. A. K.
Tuty Asmawaty, Abdul Kadir
Odili, Julius Beneoluchi
Essam, M. H. A.
author_sort Azrag, M. A. K.
building UMP Institutional Repository
collection Online Access
description In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between the modified and the original ABO algorithm toward the optimum solution. At the end of all experimental procedures, it was observed that the Global African Buffalo Optimization (GABO) converges very quickly towards the optimal solution with a few buffalos. However, the experimental result show that GABO convergence still needs improvement as it tends to have unpromising convergence towards the end of a large iteration. In any case, GABO is a promising optimization method.
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spelling ump-141732018-04-25T06:59:23Z http://umpir.ump.edu.my/id/eprint/14173/ A Global African Buffalo Optimization Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. QA75 Electronic computers. Computer science In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between the modified and the original ABO algorithm toward the optimum solution. At the end of all experimental procedures, it was observed that the Global African Buffalo Optimization (GABO) converges very quickly towards the optimal solution with a few buffalos. However, the experimental result show that GABO convergence still needs improvement as it tends to have unpromising convergence towards the end of a large iteration. In any case, GABO is a promising optimization method. Penerbit UMP 2017 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf Azrag, M. A. K. and Tuty Asmawaty, Abdul Kadir and Odili, Julius Beneoluchi and Essam, M. H. A. (2017) A Global African Buffalo Optimization. International Journal of Software Engineering & Computer Sciences (IJSECS), 3. pp. 138-145. ISSN 2289-8522. (Published) http://ijsecs.ump.edu.my/index.php/archive/14-volume-3/23-ijsecs-3-010 DOI: 10.15282/ijsecs.3.2017.10.0032
spellingShingle QA75 Electronic computers. Computer science
Azrag, M. A. K.
Tuty Asmawaty, Abdul Kadir
Odili, Julius Beneoluchi
Essam, M. H. A.
A Global African Buffalo Optimization
title A Global African Buffalo Optimization
title_full A Global African Buffalo Optimization
title_fullStr A Global African Buffalo Optimization
title_full_unstemmed A Global African Buffalo Optimization
title_short A Global African Buffalo Optimization
title_sort global african buffalo optimization
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/14173/
http://umpir.ump.edu.my/id/eprint/14173/
http://umpir.ump.edu.my/id/eprint/14173/
http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf